| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "Herrera walked around [around]" | | 1 | "Herrera said softly [softly]" |
| | dialogueSentences | 28 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |
| 96.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1480 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 66.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1480 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "predator" | | 1 | "gloom" | | 2 | "imposing" | | 3 | "rhythmic" | | 4 | "maw" | | 5 | "weight" | | 6 | "flicker" | | 7 | "stomach" | | 8 | "silence" | | 9 | "glinting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 146 | | matches | | |
| 93.93% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 146 | | filterMatches | | | hedgeMatches | | |
| 99.16% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0.006 | | matches | | 0 | "A hand伸出 from the darkness, pale under the streetlights." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1472 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1242 | | uniqueNames | 14 | | maxNameDensity | 1.77 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 22 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 17 | | Seville | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Seville" | | 2 | "London" |
| | globalScore | 0.614 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a physical weight, pressing a" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.679 | | wordCount | 1472 | | matches | | 0 | "not with aggression, but with a gentle, firm grip" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 24.95 | | std | 13.58 | | cv | 0.544 | | sampleLengths | | 0 | 55 | | 1 | 40 | | 2 | 40 | | 3 | 36 | | 4 | 38 | | 5 | 46 | | 6 | 15 | | 7 | 33 | | 8 | 30 | | 9 | 16 | | 10 | 16 | | 11 | 37 | | 12 | 14 | | 13 | 35 | | 14 | 39 | | 15 | 18 | | 16 | 13 | | 17 | 3 | | 18 | 38 | | 19 | 41 | | 20 | 23 | | 21 | 20 | | 22 | 32 | | 23 | 16 | | 24 | 31 | | 25 | 10 | | 26 | 13 | | 27 | 35 | | 28 | 5 | | 29 | 37 | | 30 | 18 | | 31 | 21 | | 32 | 23 | | 33 | 17 | | 34 | 3 | | 35 | 18 | | 36 | 31 | | 37 | 11 | | 38 | 30 | | 39 | 1 | | 40 | 28 | | 41 | 35 | | 42 | 6 | | 43 | 29 | | 44 | 26 | | 45 | 17 | | 46 | 57 | | 47 | 4 | | 48 | 54 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 146 | | matches | | 0 | "was lost" | | 1 | "were smeared" |
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| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 224 | | matches | | 0 | "wasn’t running" | | 1 | "was spreading" | | 2 | "was turning" |
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| 71.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 161 | | ratio | 0.025 | | matches | | 0 | "He wasn’t running with the panic of a petty thief; he moved with the desperate precision of prey that knew exactly what kind of predator hunted him." | | 1 | "The hooded figure pressed something into the hand—a small, white object." | | 2 | "The darkness here wasn't merely the absence of light; it felt like a physical weight, pressing against her skin." | | 3 | "The skin around the gash wasn't knitting; it was turning black, veins spreading like ink in water." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1250 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.0304 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 9.14 | | std | 6.13 | | cv | 0.671 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 20 | | 3 | 13 | | 4 | 27 | | 5 | 4 | | 6 | 19 | | 7 | 2 | | 8 | 15 | | 9 | 15 | | 10 | 10 | | 11 | 8 | | 12 | 3 | | 13 | 15 | | 14 | 13 | | 15 | 10 | | 16 | 7 | | 17 | 18 | | 18 | 14 | | 19 | 2 | | 20 | 5 | | 21 | 5 | | 22 | 3 | | 23 | 7 | | 24 | 9 | | 25 | 8 | | 26 | 16 | | 27 | 5 | | 28 | 6 | | 29 | 6 | | 30 | 5 | | 31 | 2 | | 32 | 6 | | 33 | 7 | | 34 | 9 | | 35 | 11 | | 36 | 5 | | 37 | 6 | | 38 | 5 | | 39 | 4 | | 40 | 12 | | 41 | 3 | | 42 | 7 | | 43 | 10 | | 44 | 4 | | 45 | 3 | | 46 | 16 | | 47 | 5 | | 48 | 11 | | 49 | 5 |
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| 33.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.2795031055900621 | | totalSentences | 161 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 81.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 133 | | matches | | 0 | "Her breath hitched in her" | | 1 | "He wasn’t running with the" | | 2 | "He feinted left, towards a" | | 3 | "She watched him pull himself" | | 4 | "She took a running start," | | 5 | "Her muscles burned, shoulders screaming" | | 6 | "He was already gone, vanished" | | 7 | "She stood, wiping rain from" | | 8 | "She sprinted, leaping the narrow" | | 9 | "Her boots landed heavily on" | | 10 | "He stood before a boarded-up" | | 11 | "He didn’t force the boards." | | 12 | "It was something else." | | 13 | "She had seen these signs" | | 14 | "She moved to the fire" | | 15 | "She hit the pavement running." | | 16 | "She stepped into the tunnel." | | 17 | "She moved silently, hand hovering" | | 18 | "She cleared the bend and" | | 19 | "It wasn’t a maintenance room." |
| | ratio | 0.346 | |
| 5.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 133 | | matches | | 0 | "Detective Harlow Quinn vaulted a" | | 1 | "Her breath hitched in her" | | 2 | "The suspect wore a oversized" | | 3 | "He wasn’t running with the" | | 4 | "Quinn checked her wrist." | | 5 | "The worn leather strap of" | | 6 | "The streets were empty, save" | | 7 | "He feinted left, towards a" | | 8 | "Quinn skidded to a halt," | | 9 | "She watched him pull himself" | | 10 | "She took a running start," | | 11 | "Her muscles burned, shoulders screaming" | | 12 | "He was already gone, vanished" | | 13 | "She stood, wiping rain from" | | 14 | "The salt-and-pepper stubble on her" | | 15 | "The centre of the web." | | 16 | "A noise drew her attention." | | 17 | "Metal grating shifting." | | 18 | "She sprinted, leaping the narrow" | | 19 | "Her boots landed heavily on" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Harlow Quinn vaulted a pile of refuse bags, the plastic tearing beneath her boots, scattering wet rot across the alley." | | 1 | "He wasn’t running with the panic of a petty thief; he moved with the desperate precision of prey that knew exactly what kind of predator hunted him." | | 2 | "On a table to her left, jars containing shifting smoke sat next to piles of teeth that looked human but far too large." | | 3 | "He didn't walk with a fighter's stance, but with the calm of a man who knows death intimately and has already dismissed it." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |